logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Theory of Preliminary Test and Stein-Type Estimation with Applications by A. K. Md. Ehsanes Saleh ISBN 9780471563754, 0471563757

  • SKU: EBN-997176
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

0.0

0 reviews
Instant download (eBook) Theory of Preliminary Test and Stein-Type Estimation with Applications after payment.
Authors:A. K. Md. Ehsanes Saleh
Pages:657 pages.
Year:2006
Editon:1
Publisher:Wiley-Interscience
Language:english
File Size:22.06 MB
Format:pdf
ISBNS:9780471563754, 0471563757
Categories: Ebooks

Product desciption

(Ebook) Theory of Preliminary Test and Stein-Type Estimation with Applications by A. K. Md. Ehsanes Saleh ISBN 9780471563754, 0471563757

Theory of Preliminary Test and Stein-Type Estimation with Applications provides a com-prehensive account of the theory and methods of estimation in a variety of standard models used in applied statistical inference. It is an in-depth introduction to the estimation theory for graduate students, practitioners, and researchers in various fields, such as statistics, engineering, social sciences, and medical sciences. Coverage of the material is designed as a first step in improving the estimates before applying full Bayesian methodology, while problems at the end of each chapter enlarge the scope of the applications.This book contains clear and detailed coverage of basic terminology related to various topics, including:* Simple linear model; ANOVA; parallelism model; multiple regression model with non-stochastic and stochastic constraints; regression with autocorrelated errors; ridge regression; and multivariate and discrete data models* Normal, non-normal, and nonparametric theory of estimation* Bayes and empirical Bayes methods* R-estimation and U-statistics* Confidence set estimation"
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products